AI Platform Market Forecasted to Hit US$ 254.14 Billion by 2032 with 38.2% CAGR

The global AI platform market is expected to be worth US$ 10 billion in 2022, growing at a CAGR of 38.2% to be worth US$ 254.14 billion by the end of the forecast period of 2022-2032. The market was worth $9.6 billion in 2021, and it is expected to grow by 4.2% year on year between 2021 and 2022.

Because decision-making is a critical point for service providers and various manufacturers, the AI platform market has grown. The AI platform market has boomed as players are now focusing on creating AI platforms and targeting niche solutions for solving specific enterprise problems, which has led to its growth.

The process that the AI platform goes through is learning which includes the acquisition of information for using the information, the other is reasoning which includes using rules to reach approximate or definite conclusions, and the last is self-correction.

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AI Platform Market: Drivers and Challenges:
One of the drivers for the AI platform market is the increase in the demand for AI-based solutions and products in the market. Another driver for the AI platform market includes the surplus amount of data available and developed using hardware or other sources.

This helps the AI platform work efficiently and reach out to the best possible results. Also, as there are technological advancements all around the world, there are growing innovations in AI technology which would lead to the growth of the AI platform market.

The ease of doing work is also a factor that is driving the market for AI platforms as this platform would help in the formation of intelligent business processes.

The factor that has been the major restraint for the AI Platform market is the skill gap which prevails in the market, and the use of AI platforms mostly for popular applications which keeps the other applications underdeveloped.

Leading Key Players:

  • Microsoft Corporation
  •  Google
  •  Amazon Web Services
  •  Infosys
  •  Wipro
  •  Premonition
  •  Rainbird Technologies
  •  Ayasdi Inc.
  • Mindmeld (Cisco Systems)
  • Facebook
  • Vital AI
  • Kasisto
  • Receptiviti
  • Locl Interactive Inc.
  • HPE
  • Qualcomm Technologies
  • Absolutdata
  • Salesforce
  • IBM Corporation
  • Intel

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AI Platform Market Segmentation:

By Component:

  • AI Tools
  • AI Machine Learning Platforms
  • AI Natural Language Processing Platforms
  • AI Services
    • Managed Services
    • Professional Services

By Deployment Mode:

  • Cloud-based AI Platforms
  • On-premise AI Platforms

By Application:

  • AI Platforms for Forecasts and Prescriptive Models
  • AI Platforms for Chatbots
  • AI Platforms for Speech Recognition
  • AI Platforms for Text Recognition
  • AI Platforms for Other Applications

By End User:

  • AI Platforms for Manufacturing
  • AI Platforms for Healthcare
  • AI Platforms for BFSI
  • AI Platforms for Education
  • AI Platforms for Transportation
  • AI Platforms for Retail and e-Commerce
  • AI Platforms for Robotics
  • AI Platforms for Other End Users

By Region:

  • North America
  • Latin America
  • Europe
  • CIS & Russia
  • Japan
  • APEJ
  • Middle East & Africa

About Future Market Insights (FMI):

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 5000 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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